README
@jmcc-guo/dsh-ssh
AI-managed SSH connections with a live multi-tab terminal panel for DeepSeek Harness.
SSH terminal panel + AI connection manager for DeepSeek Harness (DSH).
The AI agent can autonomously create, address, and tear down SSH connections
right from the conversation (ssh_connect / ssh_exec / ssh_list /
ssh_status / ssh_disconnect / ssh_exec_read / ssh_exec_kill /
ssh_delete), while a XShell/Uniterm-style multi-tab terminal panel in the
Web GUI shows every command — model and human — in real time on the same
screen.
Features
- Model-driven connection lifecycle — the agent connects by name or by parameters, runs commands with exit codes and readable failures, lists and inspects AI-managed connections, disconnects and deletes them. The same server may hold several independent connections (each with its own name, session state and command queue).
- Auto-save & reuse — every connection is persisted by name (unique
across AI and user connections). After a DSH restart,
ssh_execon a saved name automatically re-establishes the connection from its saved settings. - Source model
ai|user— connections created by the AI areai; connections created from the Settings page areuser. The AI can never see or touchuserconnections (ssh_listhides them;ssh_exec/ssh_status/ssh_disconnect/ssh_deletereject them explicitly). A one-way user → ai transfer (with explicit confirmation, also offered under the tab bar for a user-created active tab) grants the AI access to a live connection without disconnecting it. - Keep-alive & reconnect — idle keep-alive per connection; automatic
reconnect only for unexpected drops (network blips, server resets) with
exponential backoff (bounded attempts); every explicit disconnect stays
down (tab close,
ssh_disconnect, Settings "Disconnect" button). A "reconnected — the shell state was reset" notice is shown after an automatic reconnect. - Execution mutex (ai-source only) — while an AI command runs on an
aiconnection, keystrokes are dropped server-side with a visible "AI is executing…" hint; a modelssh_execagainst a connection whose shared terminal shell is still active waits until the shell falls quiet (no output/input forshellQuietWaitMs, default 2 s) or returns a readable "busy" result instead of interleaving output.userconnections are never mutexed. - Tab semantics — closing a tab disconnects immediately (no confirmation
dialog); AI
ssh_disconnectkeeps the tab open showing "disconnected" (one click to reconnect); a model connect that has no tab re-opens one automatically. The tab bar's "+" opens saved connections — each pick opens a fresh tab/session, even when that connection is already connected in another tab — or starts a manual entry. - Live terminal column — while the terminal panel is open it lives in
DSH's native right details column (the conversation shrinks instead of
being covered); closing it restores the original right column (tool
details) untouched, and a slim SSH rail on the right edge reopens the
panel. Each connection owns one real interactive shell (PTY): the
login banner (motd / Last login), the remote prompt
user@host:path$, input echo andcdupdates all come from the remote shell, exactly like a native SSH client. There is no input box and no copy control — click the terminal and type; keystrokes go straight into the remote shell (arrows, Tab, Ctrl-C, paste, IME supported). A blinking block cursor shows while the terminal is focused. AI-run commands appear in the same scrollback with source tags. Multi-tab, ANSI colors, scrollback. - Settings page — "SSH Connections" under Settings manages everything: create, edit (rename supported), delete connections and their credentials (passwords / private keys stored in the DSH credential store), and connect/disconnect. The terminal column itself contains no CRUD.
- Credential hygiene — passwords and private keys live in the DSH credential store under generated references; the records file, logs and tool results never contain secret material; inline secrets in tool arguments are rejected with guidance; auth failures return scrubbed, readable reasons.
- Settings — the
dsh-sshsettings namespace (heartbeat, reconnect policy, timeouts, output caps, records path) can be overridden through the DSH settings system / profile patch. - Bilingual UI — Chinese and English copy.
Requirements
- Node.js >= 18 (ESM)
- pnpm (lockfile:
pnpm-lock.yaml) - A DeepSeek Harness (DSH) installation with the
webprofile - For the test suite: a reachable SSH server (the included tests target a
local WSL OpenSSH instance; see
scripts/test-acceptance.mjs)
Install into a profile
# from npm (recommended)
dsh plugin --profile web add @jmcc-guo/dsh-ssh
# or directly from GitHub
dsh plugin --profile web add "github:jmcc-guo/dsh-ssh#v0.1.3"
# or from a local checkout
dsh plugin --profile web add <path-to-this-repo>
The bundle patch (cordis.patch.yml) mounts the dsh-ssh row. Override
config in the profile patch with the same row id:
- id: dsh-ssh
config:
heartbeatIntervalMs: 20000
reconnectMaxAttempts: 8
outputLimitBytes: 2097152
Restart the profile process afterwards (plugin-set changes and the client bundle graph are composed at boot).
Troubleshooting
ssh2 is bundled — no build steps needed
ssh2 and its full dependency closure are shipped bundled inside the
package (bundleDependencies), so installing @jmcc-guo/dsh-ssh never runs
dependency build scripts: no allowBuilds edits, no
ERR_PNPM_IGNORED_BUILDS. ssh2 runs on its pure-JS implementation, which is
fully functional (verified against a real SSH server); the optional native
crypto binding is intentionally not compiled.
Peer-dependency warnings
pnpm peers check may report "missing peer" for the @deepseek-ai/* packages
even though DSH provides them: with the hoisted profile layout, external
plugins resolve host packages at runtime from the shared profiles/node_modules
tree, which pnpm's static peer check does not cross. The warnings are benign —
the plugin loads fine (verified at runtime).
Settings namespace (dsh-ssh)
| Key | Default | Meaning |
|---|---|---|
heartbeatIntervalMs |
30000 | ssh2 keep-alive interval |
keepaliveCountMax |
3 | keep-alive failures before the connection is considered dead |
connectTimeoutMs |
15000 | SSH handshake / TCP connect timeout |
reconnectBaseDelayMs |
2000 | first auto-reconnect delay (doubles per attempt) |
reconnectMaxDelayMs |
60000 | backoff cap |
reconnectMaxAttempts |
5 | max automatic reconnect attempts |
execTimeoutMs |
120000 | default ssh_exec completion wait |
busyWaitTimeoutMs |
20000 | default mutex wait when the connection is busy |
reconnectWaitTimeoutMs |
30000 | default wait while reconnecting |
shellQuietWaitMs |
2000 | shared-shell silence required before AI may run |
outputLimitBytes |
1048576 | per-connection terminal buffer cap |
execOutputMaxBytes |
200000 | cap on output returned to the model per command |
recordsPath |
$DSH_HOME/storages/dsh-ssh/connections.json |
records file override |
Model tools
ssh_connect— create a new AI connection (host/port/user + auth by credential reference or key file path) or re-establish an existing one.ssh_exec— run a command on an AI connection by name; auto-reconnects when offline, waits through reconnect/busy states (with timeouts), returns output + exit code; long commands return anexecIdforssh_exec_read/ssh_exec_kill.ssh_exec_read— incremental output of a running (or finished) command.ssh_exec_kill— terminate a running command (SIGINT through the pty).ssh_list— AI-visible connections with live status (neveruserones).ssh_status— detailed status of one AI connection.ssh_disconnect— explicit disconnect (no auto-reconnect; optionaldelete); the panel tab stays open showing "disconnected".ssh_delete— delete a saved AI connection record (disconnects first).
Secret rule for the model: never pass passwords or private keys inline in
tool arguments (they are recorded verbatim in the session log and rejected).
Use auth.passwordRef / auth.privateKeyRef (a stored credential or
environment variable) or auth.privateKeyPath (a key file on the host).
New secrets can be stored through the panel's connection form, which routes
them into the DSH credential store.
Security notes
- The panel channel (
/ssh/ws) applies the harness browser-trust fence: loopback/trusted-host Host, same-origin Origin, cross-site fetch-metadata rejection. - Secrets never leave the credential store: the records file holds references only; error messages are scrubbed; logs contain no secrets.
- Commands run through real PTYs on the remote host: ANSI output works,
interactive programs work, and termination is a genuine SIGINT to the
foreground process group. User keystrokes flow through the shared shell's
PTY; while an AI command runs on an
ai-source connection the host drops keystrokes (input mutex).
Repository layout
lib/index.js plugin entry: config schema, manager + tools + panel channel wiring
lib/manager.js SshManager — connection lifecycle, keep-alive/reconnect, mutex, PTY shells
lib/tools.js model tools (ssh_connect / ssh_exec / ssh_exec_read / ssh_exec_kill / ...)
lib/ws.js panel WebSocket channel (/ssh/ws) with the browser-trust fence
lib/store.js persisted connection records
lib/client.js Web GUI client: multi-tab terminal panel + settings UI
cordis.patch.yml bundle patch that mounts the dsh-ssh row
scripts/ test suites (see below)
Development / tests
scripts/ contains the acceptance suite and helpers (requires a reachable
SSH server; the included tests target a WSL OpenSSH instance):
node scripts/test-acceptance.mjs # 65-check manager-level acceptance suite
node scripts/smoke.mjs # quick smoke test
node scripts/test-panel-ws.mjs # panel WebSocket channel drive (test web instance on :3081)
node scripts/test-rename.mjs # focused rename test (no SSH server needed)
Contributing
Issues and pull requests are welcome. Keep the model-facing surface (tool names, parameter semantics, result shapes) backward compatible, and make sure secrets never end up in logs, records or tool results.
License
MIT
更多「命令行与终端」插件
mnemon
作者 mnemon-dev
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
sivtr
作者 ariestar
A unified agent memory workspace for human and agent
phi
作者 pulseaiclub
a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate
caliper
作者 edonadei
Know if your agent skill actually works. A lightweight evaluation harness that tracks a success rate across Claude Code, Codex, Pi, and Hermes.
